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An algorithm to compute collusion paths

Authors: Steven H. Low; Nicholas F. Maxemchuk;

An algorithm to compute collusion paths

Abstract

In earlier work we have formulated a collusion problem that determines whether it is possible for a set of colluders to collectively discover a target set of information, starting from their initial knowledge, and have presented a complete solution for a special case of the problem. In this paper we present an algorithm that solves the general case. Given a collusion problem the algorithm determines whether it has a solution, and if it does, computes one. A solution to the collusion problem is a method with which the colluders can uncover the hidden information. Communications protocols that employ cryptographic techniques are increasingly used to protect privacy as well as to communicate. A cryptographic protocol defines a process by which information is transferred among some users while hidden from others. The algorithm presented can be used to determine whether a subset of protocol users can discover, during or after the protocol's execution, the information that is designed to be hidden from them.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
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